Radiofrequency ablation planning: An application of semi-infinite modelling techniques. - Sabrina Haase; Philipp Süss; Jan Schwientek; Katrin Teichert; Tobias Preusser (Eur. J. Oper. Res., 2012)

Optimal Product Portfolio Design by Means of Semi-infinite Programming. - Helene Krieg; Jan Schwientek; Dimitri Nowak; Karl-Heinz Küfer (OR, 2019)

A Two-Phase Approach for Model-Based Design of Experiments Applied in Chemical Engineering. - Jan Schwientek; Charlie Vanaret; Johannes Höller; Patrick Schwartz; Philipp Seufert; Norbert Asprion; Roger Böttcher; Michael Bortz (OR, 2019)

Compensating Data Shortages in Manufacturing with Monotonicity Knowledge. - Martin von Kurnatowski; Jochen Schmid; Patrick Link; Rebekka Zache; Lukas Morand; Torsten Kraft; Ingo Schmidt; Jan Schwientek; Anke Stoll (Algorithms, 2021)

Two-phase approaches to optimal model-based design of experiments: how many experiments and which ones? - Charlie Vanaret; Philipp Seufert; Jan Schwientek; Gleb Karpov; Gleb V. Ryzhakov; Ivan V. Oseledets; Norbert Asprion; Michael Bortz (Comput. Chem. Eng., 2021)

A transformation-based discretization method for solving general semi-infinite optimization problems. - Jan Schwientek; Tobias Seidel; Karl-Heinz Küfer (Math. Methods Oper. Res., 2021)

A Tri-Level Approach for T-Criterion-Based Model Discrimination. - David Mogalle; Philipp Seufert; Jan Schwientek; Michael Bortz; Karl-Heinz Küfer (OR, 2022)

On the algorithmic solution of optimization problems subject to probabilistic/robust (probust) constraints. - Holger Berthold; Holger Heitsch; René Henrion; Jan Schwientek (Math. Methods Oper. Res., 2022)

Solving continuous set covering problems by means of semi-infinite optimization. - Helene Krieg; Tobias Seidel; Jan Schwientek; Karl-Heinz Küfer (Math. Methods Oper. Res., 2022)

Computing T-optimal designs via nested semi-infinite programming and twofold adaptive discretization. - David Mogalle; Philipp Seufert; Jan Schwientek; Michael Bortz; Karl-Heinz Küfer (Comput. Stat., 2024)